Stefan Elfwing

Reinforcement Learning · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it; #641 of 2,242 by trust here, #869 by citations
• Artificial Intelligence — 25 citations into it; #6,320 of 35,345 by trust here, #9,275 by citations
• Cognitive Neuroscience — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Stefan Elfwing trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Hado van Hasselt
3. Andrew Barto
4. G. Tesauro
5. Marc G. Bellemare
6. Kenji Doya
7. Volodymyr Mnih
8. Paul Smolensky
9. Satinder Singh
10. Geoffrey E. Hinton

Who trusts Stefan Elfwing overall

1. Quoc V. Le
2. Saining Xie
3. Mingxing Tan
4. Sachin Mehta
5. Hanxiao Liu
6. Marius Thomas Lindauer
7. Yi Liao
8. Ali Hatamizadeh
9. Chen Sun
10. David Stutz

Papers from Stefan Elfwing's perspective

Ordered by how strongly the researchers Stefan Elfwing trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning (2017) — 2,602 citations
• Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs (2010) — 10 citations
• Online meta-learning by parallel algorithm competition (2017) — 25 citations